CDF estimation in multistage pair ranked set sampling

Multistage pair ranked set sampling (MSPRSS) is a rank-based design that improves statistical inference with respect to simple random of the same size. It applicable when exact measurement difficult, but judgment raking potential sample units can be done fairly accurately and easily. The ranking usually performed based on personal or concomitant variable, need not totally free errors. This article deals estimating cumulative distribution function in MSPRSS. proposed estimator theoretically compared its contenders literature. findings are supported by numerical evidence from simulation, real data context body fat analysis. Finally, cost analysis show advantage estimator.